Members

Supervisor: Prof. Wansu Lim

Research Groups:

1. FPGA-Based Deep Learning Research

• Designing deep neural network accelerators on FPGAs to enhance computational performance and energy efficiency 

• Efficient optimization methods on FPGAs to reduce the computational complexity of AI models

2. Battery State Management

• Various deep learning-based energy management in electric vehicles: SOH, SOC, RUL estimations

• Lightweight machine learning/deep learning models for embedded systems: On-device AI

3. Communication Systems and Networks

• Research on deep learning-based modulation and channel coding

• Traffic control and management for autonomous underwater vehicles

4. LLM based Data Processing

• Research efficient fine-tuning techniques for adapting LLMs using limited and domain-specific datasets

• Develop multimodal fine-tuning frameworks to enhance understanding and decision accuracy

• Explore lightweight and privacy-preserving adaptation strategies for real-world deployment